Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164552
Title: Relative importance of soil properties and functional diversity to the spatial pattern of the forest soil nitrogen
Authors: Kang, Jian
Deng, Zebang
Zhang, Zhongrui
Chen, Shuilian
Huang, Jianguo
Ding, Xiaogang
Keywords: Engineering::Electrical and electronic engineering
Science::Biological sciences::Ecology
Issue Date: 2023
Source: Kang, J., Deng, Z., Zhang, Z., Chen, S., Huang, J. & Ding, X. (2023). Relative importance of soil properties and functional diversity to the spatial pattern of the forest soil nitrogen. Ecological Indicators, 146, 109806-. https://dx.doi.org/10.1016/j.ecolind.2022.109806
Journal: Ecological Indicators
Abstract: Surface soil nitrogen (SN) is the main source of plant nutrient uptake, and its dynamic change is related to forest productivity, ecosystem carbon and nitrogen cycles, and water conservation. However, few studies have investigated the factors influencing SN. The linear mixing effect and generalized additivity model were used to investigate the spatial patterns and influencing factors of SN by collecting and measuring the total nitrogen content of forest soil samples in the middle and lower reaches of the Xijiang River Basin (XRB). We found that the total nitrogen content in broad-leaved forest soils was significantly higher than that in coniferous forest soils. Forest SN was influenced by soil properties and diversity indicators, and the full model constructed by influencing factors was more applicable to broad-leaved forests. Soil properties were the main explanatory factor for SN (53.53% in the full model, 61.02% in broad-leaved forests), with sub-surface soil nitrogen (sub SN) being the largest explanatory quantity factor (48.52% in the full model, 58.04% in broad-leaved forests). Therefore, forest management in the XRB should avoid damaging the sub-surface soils to prevent nitrogen loss. In the context of global change, the further study of the effect of nitrogen deposition on SN is warranted.
URI: https://hdl.handle.net/10356/164552
ISSN: 1470-160X
DOI: 10.1016/j.ecolind.2022.109806
Schools: School of Electrical and Electronic Engineering 
Rights: © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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